Xiaoyang Wang

1.4k citations
22 papers · 921 indexed · 1 hit paper · h-index 8
Topics
SARS-CoV-2 and COVID-19 Research (5 papers)COVID-19 Clinical Research Studies (5 papers)COVID-19 diagnosis using AI (5 papers)
Journals
SHILAP Revista de lepidopterologíaACS NanoJournal of Virology

In The Last Decade

Xiaoyang Wang

20 papers receiving 904 citations

Hit Papers

Clinical characteristics and imaging manifestations of th...20202026202220242020200400600

Peers

Xiaoyang Wang
Comparison fields: 5 of 103
  • Infectious Diseases 673
  • Neurology 346
  • Radiology, Nuclear Medicine and Imaging 194
  • Oncology 145
  • Pulmonary and Respiratory Medicine 84
Replace Ashan Pan with:
Ashan Pan China
Andrea De Vito Italy
Zhimei Zhong China
Yanjun Zhong China
Wen Yin China
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Xiaoyang Wang relative to Ashan Pan China Ashan Pan's profile →
Citations per field
00.5×4.8×
Ashan Pan · 1×
Citations per year

Countries citing papers authored by Xiaoyang Wang

Since Specialization
Citations

This map shows the geographic impact of Xiaoyang Wang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Xiaoyang Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoyang Wang more than expected).

Fields of papers citing papers by Xiaoyang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiaoyang Wang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Xiaoyang Wang. The network helps show where Xiaoyang Wang may publish in the future.

Co-authorship network of co-authors of Xiaoyang Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoyang Wang. A scholar is included among the top collaborators of Xiaoyang Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xiaoyang Wang. Xiaoyang Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 0
4 1
5 1
6 5
7 5
8 5
9 12
10 7
11 18
12 5
13 66
14
Coinfection of SARS-CoV-2 and Other Respiratory Pathogens
3
15 80
16
Clinical characteristics and imaging manifestations of the 2019 novel coronavirus disease (COVID-19):A multi-center study in Wenzhou city, Zhejiang, Chinabreakdown →
681
17 2
18 7
19 5
20 10

About Xiaoyang Wang

Xiaoyang Wang is a scholar working on Infectious Diseases, Toxicology and Cell Biology, having authored 22 papers that have together received 921 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (5 papers), COVID-19 Clinical Research Studies (5 papers) and COVID-19 diagnosis using AI (5 papers). The work is most often cited by research in Infectious Diseases (673 citations), Neurology (346 citations) and Critical Care and Intensive Care Medicine (63 citations). Xiaoyang Wang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Qingfeng Sun, Qiqi Cao, Ashan Pan, Fuhua Yan, Jianyi Dai, Le Qin, Zenghui Cheng, Wenjie Yang, Jieming Qu and Chenbin Liu. Their work appears in journals such as SHILAP Revista de lepidopterología, ACS Nano and Journal of Virology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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